Moderation Overview

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Available Components

Key Features:

• User-defined deny lists
• Optional LLM-based similarity detection
• Customizable error messages
• Flexible rule configuration

Use Cases:

• Preventing prompt injection attempts
• Filtering specific keywords or phrases
• Implementing custom content policies

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Benefits

1. Enhanced Safety

   • Protect against harmful or inappropriate content
   • Prevent misuse of AI systems
   • Maintain ethical guidelines

2. Policy Compliance

   • Ensure adherence to API provider policies
   • Meet regulatory requirements
   • Maintain consistent content standards

3. Customizable Control

   • Define specific moderation rules
   • Adapt to project requirements
   • Balance safety with functionality

4. Seamless Integration

   • Works within existing AI workflows
   • Compatible with various language models
   • Easy to implement and maintain

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Implementation Guide

1. Choose Your Moderation Approach:

   • Use OpenAI Moderation for comprehensive content analysis
   • Use Simple Prompt Moderation for custom rule-based filtering
   • Combine both for layered protection

2. Configure Parameters:

   • Set up appropriate credentials
   • Define custom error messages
   • Specify denied phrases or rules

3. Integration Points:

   • Add moderation checks before processing user input
   • Implement content filtering before model responses
   • Monitor and log moderation results

4. Best Practices:

   • Regularly update moderation rules
   • Monitor false positives/negatives
   • Maintain clear documentation of policies
   • Test moderation effectiveness regularly